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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Defcon: Preventing Overload with Graceful Feature Degradation OSDI 2023 Defects of Convolutional Decoder Networks in Frequency Representation ICML 2023 DeFeeNet: Consecutive 3D Human Motion Prediction With Deviation Feedback CVPR 2023 Defending against Adversarial Audio via Diffusion Model ICLR 2023 Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training NeurIPS 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 Defending from Physically-Realizable Adversarial Attacks through Internal Over-Activation Analysis AAAI 2023 Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks NeurIPS 2023 Define, Evaluate, and Improve Task-Oriented Cognitive Capabilities for Instruction Generation Models ACL 2023 Defining and Quantifying the Emergence of Sparse Concepts in DNNs CVPR 2023 Defining a New NLP Playground EMNLP 2023 Definitions Matter: Guiding GPT for Multi-label Classification EMNLP 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Deformable Image Registration with Geometry-informed Implicit Neural Representations MIDL 2023 Deformable Mesh Transformer for 3D Human Mesh Recovery CVPR 2023 Deformable Neural Radiance Fields using RGB and Event Cameras ICCV 2023 DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation WACV 2023 DeformToon3D: Deformable Neural Radiance Fields for 3D Toonification ICCV 2023 Degree-based stratification of nodes in Graph Neural Networks ACML 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023 Delay-penalized CTC Implemented Based on Finite State Transducer Interspeech 2023 Delegated Classification NeurIPS 2023 DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series IJCAI 2023 Deletion and Insertion Tests in Regression Models JMLR 2023